Searched for: author:"Izzo, Dario"
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Acciarini, Giacomo (author), Izzo, Dario (author), Mooij, E. (author)
In this paper, we combine the concepts of hyper-volume, ant colony optimization and nondominated sorting to develop a novel multi-objective ant colony optimizer for global space trajectory optimization. In particular, this algorithm is first tested on three space trajectory bi-objective test problems: an Earth-Mars transfer, an Earth-Venus...
conference paper 2020
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van Hecke, K.G. (author), de Croon, G.C.H.E. (author), van der Maaten, L.J.P. (author), Hennes, Daniel (author), Izzo, Dario (author)
Self-supervised learning is a reliable learning mechanism in which a robot uses an original, trusted sensor cue for training to recognize an additional, complementary sensor cue. We study for the first time in self-supervised learning how a robot’s learning behavior should be organized, so that the robot can keep performing its task in the...
journal article 2018